Differentiating Ischemic From Nonischemic T-Wave Inversion Using a Multimodal Vision-Language Model With Reinforcement Learning (ECG-R1): Development and Validation Study
- DOI
- 10.2196/87227
- Published
- 2026-06-19
- Container
- JMIR Medical Informatics
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/87227,
title = {Differentiating Ischemic From Nonischemic T-Wave Inversion Using a Multimodal Vision-Language Model With Reinforcement Learning (ECG-R1): Development and Validation Study},
author = {Yunzhang Cheng and Zhongkai Wang and Wen Zhang and Qin Zhang and Mingwei Zhang and Songbin Cai and Tianyi Zhang},
year = {2026},
journal = {JMIR Medical Informatics},
doi = {10.2196/87227},
url = {https://doi.org/10.2196/87227}
}RIS
TY - JOUR TI - Differentiating Ischemic From Nonischemic T-Wave Inversion Using a Multimodal Vision-Language Model With Reinforcement Learning (ECG-R1): Development and Validation Study AU - Yunzhang Cheng AU - Zhongkai Wang AU - Wen Zhang AU - Qin Zhang AU - Mingwei Zhang AU - Songbin Cai AU - Tianyi Zhang PY - 2026 JO - JMIR Medical Informatics DO - 10.2196/87227 UR - https://doi.org/10.2196/87227 ER -
APA
Cheng, Y., Wang, Z., Zhang, W., Zhang, Q., Zhang, M., Cai, S., & Zhang, T. (2026). Differentiating Ischemic From Nonischemic T-Wave Inversion Using a Multimodal Vision-Language Model With Reinforcement Learning (ECG-R1): Development and Validation Study. JMIR Medical Informatics. https://doi.org/10.2196/87227
Source records
- crossref · retrieved 2026-09-26T11:37:03.743Z